AI that works in production.

We don't build demos. We build AI systems that do real work every day: they translate, recognise, answer and search. We build them, connect them to the systems you already have, and run them afterwards.

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What we've built

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Translation

Translation and content

Specialist translation, webshop products in several languages, with caching.

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Vision

Image recognition and processing

Access control with plate and face recognition, an image recognition API, image processing.

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Illustration: behind a counter a small yellow assistant hands letters to a queue, while a colleague with a coffee reviews the flagged ones

Assistants

Assistants and support

Support and shopping assistants, email handling, connected to your helpdesk.

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Illustration: a small yellow robot with a magnifying glass moves along a row of web pages, filing cards into a cabinet connected to company systems

Search and automation

Search, extraction and automation

Crawling and summaries, browser automation, MCP servers.

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How we work with AI

We start with the task, not the model. First we find where your time or money goes, and only then pick the technology.
Measurable results. Time, cost, accuracy: we agree up front what we measure, and hold the system to it.
Connected, not bolted on. The AI works from your existing systems and writes back to them.
A person in the loop. Where it matters, a person approves what the AI suggests.

Where does most of your time go?

How can we help? We reply within one business day.

Let's talk

How we did it

Illustration: a messy pile of paper pours onto a conveyor belt on the left, a big yellow machine processes it in the middle, and a single neat stack of identical pages comes out on the right with a yellow check mark on top

MFOIDevelopment2 min read

No translation agency could take this on. So we built a translation system.

MFOI had to translate tens of thousands of EU funding documents into Hungarian, in legal and financial language. We built an AI translation system trained for exactly that.

~100× more cost-effective than an agencyRead the case

Illustration: a small truck at a barrier gate, a pole-mounted camera scanning it with a yellow beam, the barrier lifting on its own next to a yellow check mark; the guard booth is empty and a crossed-out access card lies on the ground

Development2 min read

1.2 seconds from camera to barrier. No cards, no guards.

For the municipality of a city of more than 400,000 people we built AI-based vehicle and person recognition that decides in 1.2 seconds, with no access cards and no guard on site.

1.2 s from camera to barrierRead the case

Illustration: a stream of blank picture frames flies from the left into a big yellow lens, and comes out on the right sorted into four yellow trays, each showing a different simple shape: a circle, a triangle, a square and a face

DevelopmentScaling2 min read

A tenfold peak? The system absorbs it. Nobody has to touch it.

We built a horizontally scaling image recognition API that processes millions of images a day with sub-second responses, and handles tenfold peaks with no manual intervention.

10× traffic spikes, no manual interventionRead the case